Cisco Secure IPS (NGIPS) vs Vectra AI comparison

Cisco Secure IPS (NGIPS) provides intrusion prevention, malware detection, and DDoS protection with modularity, third-party integration, and cloud capabilities, focusing on flexibility, automation, and real-time threat detection, while offering centralized management and ease of upgrading.

Cisco Secure IPS (NGIPS) is designed to support network security through an open platform, delivering features such as anomaly detection and security intelligence. Users benefit from robust technical support, making it a reliable choice for enterprises seeking to protect their network infrastructures. However, improvements are needed in user-friendliness, interface complexity, and integration with third-party tools. There is a demand for better reporting, sandboxing capabilities, and enhanced AI-driven threat detection and response times, especially for zero-day attacks. Pricing remains a concern due to high costs and licensing complexity.

• Intrusion Prevention: Detect and block malicious activities across networks to maintain security.
• Malware Detection: Identify and mitigate malicious software in real time.
• DDoS Protection: Safeguard against distributed denial-of-service attacks that can disrupt operations.
• Integration: Seamlessly connect with third-party tools for enhanced functionality.
• Cloud Capabilities: Use cloud-based resources for scalable and flexible security solutions.
• Real-Time Threat Detection: Identify potential threats instantly to prevent exploitation.

• Cost Efficiency: Centralized management and hardware-free upgrading help reduce expenses.
• Flexibility: Modular design and open platform ensure adaptability to changing needs.
• Support: Access to expert technical assistance ensures smooth operations.
• Scalability: Cloud deployment options offer enhanced scalability for growing demands.

Businesses deploy Cisco Secure IPS (NGIPS) in both on-premises and cloud environments, addressing needs like compliance audits and integration with platforms such as Cisco Talos and Umbrella. Its implementation strengthens perimeter security, enhances cybersecurity in enterprise and banking sectors, and ensures effective threat management for network defense.

Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.

Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.

• Attack Location Identification: Pinpoints specific locations of security breaches.
• Alert Correlation: Combines multiple alerts into a single incident for efficiency.
• Visibility Across Attack Lifecycle: Offers detailed insight through different attack stages.
• Risk Scoring: Aggregates risk scores to prioritize imminent threats.
• AI and Machine Learning: Detects anomalies early to aid in proactive threat response.
• Integration with Office 365: Seamlessly consolidates data for enriched investigations.

• Enhanced SOC Efficiency: Reduces alert fatigue and improves operational efficiency.
• Threat Prioritization: Focuses on the most critical threats with risk scoring.
• Proactive Threat Response: Early anomaly detection aids in swift response.
• Operational Overhead Reduction: Seamless integration minimizes extra workload.
• Compliance and Policy Support: Assists in adhering to policies and regulations.

In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.